Sr. Automation Engineer - IT Asset Management
Databricks · Bellevue, Washington; Mountain View, California; San Francisco, California; Seattle, Washington
About this role
**Sr. Automation Engineer - IT Asset Management** **Req ID:** GAQ427R222 ## About the Role As a Senior Automation Engineer on the IT Asset Management team at Databricks, you’ll build scalable, AI-powered automation to eliminate manual toil and improve how we manage ~$XXM/yr in asset spend across SaaS licenses and hardware as Databricks scales past 14,000 employees. You’ll start by focusing on IT asset management workflows, including: - New hire laptop provisioning - SaaS license lifecycle management - Asset data reconciliation - Hardware recovery for offboarding Over time, you’ll expand automation into IT Support and Operations, including IT support workflows, AV/VC and event support, and incident response management. You’ll report to the Senior Manager of IT Asset Management. ## The Impact You Will Have - **New hire laptop provisioning:** Build end-to-end automation for assigning, configuring, and shipping laptops to new hires, targeting a **75% reduction** in manual ticket toil. - **SaaS license lifecycle:** Automate license consumption monitoring, inactivity-based seat clawbacks, renewal alerting, and cost optimization workflows to help drive **$1.5M+** in annual savings and cost avoidance. - **Asset data quality:** Automate CMDB/inventory reconciliation, deduplication, and multi-device detection to bring asset records to audit-ready accuracy. - **Offboarding asset recovery:** Automate tracking and recovery of hardware from exiting employees, reducing loss and improving chain-of-custody compliance. - **Broader IT Ops automation (over time):** Extend automation into IT support, AV/VC and event support, and incident response management as the ITAM automation foundation matures. ## What We Are Looking For ### Core Qualifications - **5+ years** of experience in IT systems engineering, automation engineering, or a related technical role. - Proven track record delivering complex, multi-system automation projects with measurable business impact. - **Automation-first mindset**—you see manual work and think about scalable, reliable automation. - Ability to operate with minimal guidance, take ownership of ambiguous problems, and deliver high-quality work in a fast-paced environment. - Comfortable ramping into unfamiliar systems and business processes; strong generalist who can learn quickly. ### AI and LLM Automation - Hands-on experience building workflows, agents, or tools powered by large language models (e.g., Claude, GPT, Gemini, or similar). - Ability to design AI-powered automation that handles unstructured inputs, makes decisions, and integrates with enterprise systems. - Experience with prompt engineering, agent frameworks, or AI-assisted code generation in production/operational contexts. - Comfort evaluating and selecting the right AI approach (deterministic rules, LLM calls, or hybrid). ### Automation and Integration - Experience building/troubleshooting integrations between IT platforms (e.g., ITSM tools like FreshService/ServiceNow, identity platforms, and asset management systems). - Experience designing automation for IT operational processes (onboarding/offboarding, access provisioning, license management, asset tracking, or similar). - Familiarity with REST APIs and scripting (Python, Bash, or similar) to connect systems that weren’t designed to integrate. - Data pipelines, ETL, or data quality workflows are a **plus**. ### Collaboration and Communication - Strong cross-functional collaboration with IT operations, s
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